[PDF] Top 20 Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

... Distant supervision has become the stan- dard method for relation ...a deep reinforcement learning strat- egy to generate the false-positive indicator, where we automatically ... See full document

... We apply a new technique in the field of ap- plied mathematics, i.e., low-rank matrix comple- tion with convex optimization. The breakthrough work on this topic was made by Cand`es and Recht (2009) who proved that most ... See full document

... adversarial learning process (Goodfellow et ...noisy distant supervision dataset without any supervised ...ous deep-neural-network-based models, achieving strong performances on the widely ... See full document

... sentence relation extraction. These are: (a) supervised learning approaches focussing on creating hand-labeled data and experimenting with a variety of lexical, syntac- tic and sematnic features ... See full document

... of distant supervision (Mintz et ...uses deep neural networks (Zeng et ...supervised learning approach, while our focused one is a joint learning approach with transductive style, in ... See full document

... in relation extraction, especially in cases with limited ...distance supervision approaches only extract relations expressed in single ...cross-sentence relation extraction is ... See full document

... On the other hand, in fusion module, most ex- isting work focused on denoising using methods such as attention or reinforcement learning. We want to argue that a sentence-level reasoning can also be useful ... See full document

... of deep learning tech- niques (LeCun et ...for distant su- pervision relation ...tion via a weighted sum of all sentence represen- tations in the ...each relation using the same ... See full document

... of Relation Extraction (RE), mainly based on deep learning models (Zeng et ...of supervision either man- ually annotated or distantly supervised data (Mintz et ...to distant ... See full document

... determine relation types only after all the entities have been recognized, thus the interaction be- tween relation types and entity mentions is not fully mod- ...lation extraction by regarding the ... See full document

... A corpus of analytical articles, obtained from authoritative foreign sources and translated into Russian has been invented in (Loukachevitch and Rusnachenko, 2018). The collected articles con- tain both the author’s ... See full document

... of distant supervision in the following man- ner: “Given a pair of entities and their mentions in sentences from a corpus, at least one of the men- tions express the relation given in the ... See full document

... the relation classification of Wiki-KBP dataset has highest label quality, ...Wiki-KBP relation classifica- tion task, while DSL gets better or similar perfor- mance with CoType-RM on other ... See full document

... Previous work has shown that selecting the sen- tences containing the entities targeted by a given re- lation is enough accurate (Banko et al., 2007; Mintz et al., 2009) to provide reliable training data. How- ever, only ... See full document

... training data due to their high-precision low-recall features, which were originally proposed by Mintz et al. (2009). We present a reliable and novel way to address these issues and achieve significant improvement over ... See full document

... Within the minimax framework, finding the worst case scenario is a critical component. Lanctot et al. (2017) pro- posed an iterative approach that alternatively computes the best response policy while fixes the other. ... See full document

... event extraction centered around airplane crash ...joint learning (here using the S EARN algorithm (Daum´e III, 2006)) performs better than several strong baselines, even in this complex and noisy ... See full document

... of distant supervision and demonstrated that it can be successfully adopted for domains where named entity recognition and normalization is still an unsolved issue and the closed world assumption might be ... See full document

... Research in statistical natural language processing has shown the promise of reranking approach in enhancing the accuracy. This method first em- ploys a probabilistic model to generate a list of top-N candidates and then ... See full document

... to Relation Extrac- tion (RE) are characterized by higher ac- curacy than unsupervised ...using Distant Supervision (DS) provides a promising solution to the ... See full document